Academia to Industry: The Impact of AI on Information Retrieval Technologies

Year : 2025 | Volume :12 | Issue : 01 | Page : 1-7
    By

    Jogen Sharma,

  • Dayawanti Tarmali,

  1. Junior Library Assistant, Management Development Institute (MDI) Murshidabad Raghunathganj, Murshidabad, West Bengal, India, ,
  2. Assistant Professor, Management Development Institute (MDI) Murshidabad Raghunathganj, Murshidabad, West Bengal, India, ,

Abstract

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Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by enabling systems to understand the context and intent behind user queries. These advancements are now widely used in sectors like healthcare, where AI-powered IR systems extract valuable insights from electronic health records, and in e-commerce, where personalized recommendations drive user engagement. The article also examines the interplay between academic theory and industry application, with AI models initially developed in academic settings being optimized for large-scale industrial use. However, the deployment of AI in IR systems comes with ethical challenges, particularly regarding data privacy and algorithmic bias. Addressing these concerns requires continued collaboration between academia and industry, particularly in developing fairness-aware AI models and ensuring regulatory compliance. Looking forward, the article outlines future trends in AI-driven IR, including retrieval-augmented generation (RAG) and hyper-personalization, which promise to further enhance the capabilities of search systems. The partnership between academic researchers and industry practitioners remains crucial in driving innovation and shaping the ethical implementation of AI in information retrieval.

Keywords: artificial intelligence, information retrieval, academic research, industry applications, data privacy, algorithmic bias, neural ranking, personalization, retrieval-augmented generation.

[This article belongs to Journal of Advancements in Library Sciences (joals)]

How to cite this article:
Jogen Sharma, Dayawanti Tarmali. Academia to Industry: The Impact of AI on Information Retrieval Technologies. Journal of Advancements in Library Sciences. 2025; 12(01):1-7.
How to cite this URL:
Jogen Sharma, Dayawanti Tarmali. Academia to Industry: The Impact of AI on Information Retrieval Technologies. Journal of Advancements in Library Sciences. 2025; 12(01):1-7. Available from: https://journals.stmjournals.com/joals/article=2025/view=0

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Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 23/09/2024
Accepted 10/10/2024
Published 07/01/2025
103